Abstract:A new approach for speaker verification is presented in this paper. Mixture decomposition discrimination (MDD) is based on the idea that, when modeling speech using speaker independent continuous density hidden Markov models (HMM), different speakers speaking the same word would cause different HMM mixture components to dominate. When the mixture information is considered, one can construct a "mixture profile" of a speaker speaking a given word or phrase. This mixture profile is incorporated into a discriminat… Show more
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